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["Disclaimer for Software"]
["Important: This Excel forecasting model (\"Software\") is the property of the Society of Actuaries (SOA) and is protected under U.S. and international copyright laws."]
["The Software has been developed for the benefit of actuaries FOR EDUCATIONAL USE ONLY, although others may find it useful. SOA and the authors make the Software available to individual users for their personal use on a non–exclusive basis. No commercial use, reproduction or distribution is permitted whatsoever."]
["SOA and the authors make no warranty, guarantee, or representation, either expressed or implied, regarding the Software, including its quality, accuracy, reliability, or suitability, and HEREBY DISCLAIM ANY WARRANTY REGARDING THE SOFTWARE'S MERCHANTABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE. SOA and the authors make no warranty that the Software is free from errors, defects, worms, viruses or other elements or codes that manifest contaminating or destructive properties. In no event shall SOA or the authors be liable for any damages (including any lost profits, lost savings, or direct, indirect, incidental, consequential or other damages) in connection with or resulting from the use, misuse, reliance on, or performance of any aspect of the Software including any instructions or documentation accompanying the Software. SOA and the authors make no representation or warranty of non–infringement of proprietary rights of others with respect to the Software. The entire risk as to the uses, outputs, analyses, results and performance of the Software is assumed by the user. This Disclaimer applies regardless of whether the Software is used alone or with other software."]
["The models, any accompanying documentation, and methodologies contained herein do not represent an official position, statement, or endorsement on behalf of the Society of Actuaries or its members, nor should the material be construed to do so. It is the product of a research effort commissioned by the Society of Actuaries. The model is neither intended to preclude the use of other methodologies for any purpose nor provide a statement or position on the use, application, or preferability of other methodologies as compared to the methodology described herein."]

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[null,null,"Society of actuaries - Cause of deaths forecasting tool",null,null,null,null,null,null,null,"Contents"]
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[null,null,"results"]
[null,null,"may not be modified"]
[null,null,"hypothesis"]
[null,null,"to be chosen"]

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[null,null,"Society of actuaries - Cause of deaths forecasting tool",null,null,null,null,null,null,null,"Read Me"]

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[null,null,"Society of actuaries - Cause of deaths forecasting tool",null,null,null,null,null,null,null,"Main"]
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["National",2016,2026,null,null,null,null,null,null,null,"Default parameters"]
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[null,"sex",null,null,"M","F","M","F","M","F","M","F","M","F","M","F","M","F"]
[null,"cause",{"$f":"Causes","v":"Cardiovascular"},null,"historical2","historical2",null,null,null,null,null,null,"no","no",0.96483319999999995,0.95042380000000004,-0.55807249999999997,-0.73493090000000005]
[null,null,"Cerebrovascular",null,"historical2","historical2",null,null,null,null,null,null,"no","no",0.9266721,0.96351520000000002,-0.82922410000000002,-0.61636250000000004]
[null,null,"NeoSmok",null,"historical2","historical2",null,null,null,null,null,null,"no","no",0.96311340000000001,0.98339849999999995,-0.55856300000000003,-0.32177270000000002]
[null,null,"Neoplasm",null,"historical2","historical2",null,null,null,null,null,null,"no","no",0.98414990000000002,1.0057179999999999,-0.21480089999999999,0]
[null,null,"Dementia",null,"historical2","historical2",null,null,null,null,null,null,"no","no",0.9396717,0.92775189999999996,-0.62492539999999996,-0.78380810000000001]
[null,null,"Diabetes",null,"historical2","historical2",null,null,null,null,null,null,"no","no",0.9825448,0.97808390000000001,-0.39870949999999999,-0.54438839999999999]
[null,null,"Influenza",null,"historical2","historical2",null,null,null,null,null,null,"no","no",0.93507680000000004,0.9398415,-0.75254430000000005,-0.80200249999999995]
[null,null,"Respiratory",null,"historical2","historical2",null,null,null,null,null,null,"no","no",0.90637900000000005,0.9138771,-1.0928150999999999,-1.0754821000000001]
[null,null,"Drug",null,"historical2","historical2",null,null,null,null,null,null,"yes","yes",0.92376800000000003,0.92917249999999996,-0.66088979999999997,-0.76511989999999996]
[null,null,"External",null,"historical2","historical2",null,null,null,null,null,null,"no","no",1.1163533000000001,1.1210708,0.44040780000000002,0.59056750000000002]
[null,null,"Other",null,"historical2","historical2",null,null,null,null,null,null,"no","no",0.98134379999999999,0.97952150000000004,-0.2065922,-0.33355380000000001]

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[null,null,"Cerebrovascular",null,2.9165967709281959E-5,2.9366620103654115E-6,1.89930662851766E-6,2.5290207760043646E-6,2.9994959632071623E-6,5.5552770002220831E-6,1.1170806548208468E-5,2.0280127853301923E-5,3.7581558981516841E-5,6.6690892901008543E-5,1.0584512972205872E-4,1.7528818758655171E-4,2.8783841527120653E-4,4.6142298828900257E-4,6.6710301024915011E-4,1.1705382707985206E-3,2.1024469340886922E-3,3.7973106866857321E-3,6.2936739659996766E-3,1.1320656193560314E-2,1.9180691640004983E-2,null,null,"Cerebrovascular",null,4.109954995992794E-5,1.2233185486548739E-5,0,0,0,0,8.9287397282290037E-6,9.0977829713763525E-6,2.4761306631640674E-5,4.9732563141705479E-5,7.740037926185838E-5,9.8804930836548409E-5,1.9943030211287997E-4,3.0352294508729404E-4,4.9630322087192993E-4,7.7444681575509675E-4,1.5055933780189941E-3,3.0107260096190547E-3,{"$f":"(OFFSET(INDIRECT(\"'Forecasts \" & $AB9 & \"'!D17\"),$AC$6-$D$6,MATCH(AV$7,$AD$7:$AX$7)-MATCH($AD$7,$AD$7:$AX$7))^Main!$O16)*EXP(Main!$Q16)","v":3.9193273521354417E-3},{"$f":"(OFFSET(INDIRECT(\"'Forecasts \" & $AB9 & \"'!D17\"),$AC$6-$D$6,MATCH(AW$7,$AD$7:$AX$7)-MATCH($AD$7,$AD$7:$AX$7))^Main!$O16)*EXP(Main!$Q16)","v":6.7643095437941638E-3},{"$f":"(OFFSET(INDIRECT(\"'Forecasts \" & $AB9 & \"'!D17\"),$AC$6-$D$6,MATCH(AX$7,$AD$7:$AX$7)-MATCH($AD$7,$AD$7:$AX$7))^Main!$O16)*EXP(Main!$Q16)","v":1.1060488554723181E-2}]
[null,null,"NeoSmok",null,0,0,9.8898745744797942E-8,2.0023005648409106E-7,3.9807813491819037E-7,1.8656633906636579E-6,3.1628483314623886E-6,7.5959788600215932E-6,2.1503911964387921E-5,5.6051030555074756E-5,1.6734391364495291E-4,4.359890877927374E-4,9.0009760748580578E-4,1.431857164409736E-3,2.1894282771323624E-3,3.1693656362951511E-3,4.0331376330299444E-3,4.7646544776157136E-3,5.0993926724890327E-3,4.8760515599960714E-3,4.5291614925174898E-3,null,null,"NeoSmok",null,0,0,0,0,0,0,0,9.0977829713763525E-6,1.9133736942631428E-5,2.2379653413767467E-5,5.7463917936834252E-5,2.0113860920297356E-4,4.000619915878857E-4,7.5811438795776178E-4,1.2016656751933372E-3,1.6868697883401246E-3,2.4260434781179425E-3,3.2397511260401557E-3,{"$f":"(OFFSET(INDIRECT(\"'Forecasts \" & $AB10 & \"'!D17\"),$AC$6-$D$6,MATCH(AV$7,$AD$7:$AX$7)-MATCH($AD$7,$AD$7:$AX$7))^Main!$O17)*EXP(Main!$Q17)","v":3.5020095947090255E-3},{"$f":"(OFFSET(INDIRECT(\"'Forecasts \" & $AB10 & \"'!D17\"),$AC$6-$D$6,MATCH(AW$7,$AD$7:$AX$7)-MATCH($AD$7,$AD$7:$AX$7))^Main!$O17)*EXP(Main!$Q17)","v":3.3625139791068222E-3},{"$f":"(OFFSET(INDIRECT(\"'Forecasts \" & $AB10 & \"'!D17\"),$AC$6-$D$6,MATCH(AX$7,$AD$7:$AX$7)-MATCH($AD$7,$AD$7:$AX$7))^Main!$O17)*EXP(Main!$Q17)","v":3.1368875302739598E-3}]
[null,null,"Neoplasm",null,2.9577443590517056E-5,2.6996485240960338E-5,2.6043742213024593E-5,2.3836592389307377E-5,3.7012508126684199E-5,4.4961378757629554E-5,7.444857443992155E-5,1.0985538013460872E-4,1.6775897039715602E-4,2.7751206642987689E-4,5.2402316885978432E-4,1.0136092182696131E-3,1.8110818280555046E-3,2.923094883417503E-3,4.1597271129821933E-3,6.0629404143043419E-3,8.6838718685450754E-3,1.2484210246371492E-2,1.7099741007805026E-2,2.3598263208749574E-2,2.9691665834101252E-2,null,null,"Neoplasm",null,2.7399699973285294E-5,2.9709164753046935E-5,1.9526264918415081E-5,3.0117842905331406E-5,3.6363636363636364E-5,3.9086042248229151E-5,4.4643698641145024E-5,5.9641021701244982E-5,1.1930447740699597E-4,1.9768693848827928E-4,3.7644729913722033E-4,7.1515949938835038E-4,1.2530470186971916E-3,2.2687993657894991E-3,3.4316308319877623E-3,4.8247146452788789E-3,7.1203389886225791E-3,1.068783876631804E-2,{"$f":"(OFFSET(INDIRECT(\"'Forecasts \" & $AB11 & \"'!D17\"),$AC$6-$D$6,MATCH(AV$7,$AD$7:$AX$7)-MATCH($AD$7,$AD$7:$AX$7))^Main!$O18)*EXP(Main!$Q18)","v":1.4591093193051505E-2},{"$f":"(OFFSET(INDIRECT(\"'Forecasts \" & $AB11 & \"'!D17\"),$AC$6-$D$6,MATCH(AW$7,$AD$7:$AX$7)-MATCH($AD$7,$AD$7:$AX$7))^Main!$O18)*EXP(Main!$Q18)","v":2.0071194953960543E-2},{"$f":"(OFFSET(INDIRECT(\"'Forecasts \" & $AB11 & \"'!D17\"),$AC$6-$D$6,MATCH(AX$7,$AD$7:$AX$7)-MATCH($AD$7,$AD$7:$AX$7))^Main!$O18)*EXP(Main!$Q18)","v":2.5182304169943437E-2}]
[null,null,"Dementia",null,0,0,0,0,0,5.6894737619908819E-7,6.227660671961573E-7,1.0748541104217941E-6,1.0466207618605828E-6,2.738327477128844E-6,6.6548657280770933E-6,1.780828283139033E-5,5.144127000910785E-5,1.5879629025108164E-4,4.0406548807870012E-4,1.2252819835685345E-3,3.3659890289688401E-3,8.3521237367178269E-3,1.7719899245105798E-2,3.5026353485541714E-2,6.2895239442384898E-2,null,null,"Dementia",null,0,0,0,0,0,0,0,0,0,0,1.0554597172071598E-5,1.293874094288134E-5,4.6854107122905533E-5,1.3305115401086862E-4,3.6372907283079801E-4,1.0036652698435305E-3,2.8205220924460632E-3,6.9995801206198943E-3,{"$f":"(OFFSET(INDIRECT(\"'Forecasts \" & $AB12 & \"'!D17\"),$AC$6-$D$6,MATCH(AV$7,$AD$7:$AX$7)-MATCH($AD$7,$AD$7:$AX$7))^Main!$O19)*EXP(Main!$Q19)","v":1.2262660782339979E-2},{"$f":"(OFFSET(INDIRECT(\"'Forecasts \" & $AB12 & \"'!D17\"),$AC$6-$D$6,MATCH(AW$7,$AD$7:$AX$7)-MATCH($AD$7,$AD$7:$AX$7))^Main!$O19)*EXP(Main!$Q19)","v":2.3337091980034266E-2},{"$f":"(OFFSET(INDIRECT(\"'Forecasts \" & $AB12 & \"'!D17\"),$AC$6-$D$6,MATCH(AX$7,$AD$7:$AX$7)-MATCH($AD$7,$AD$7:$AX$7))^Main!$O19)*EXP(Main!$Q19)","v":4.0612130712152472E-2}]
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[null,"Gender","M"]
[null,"age group","30 - 34"]
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[null,"I - Mortality rates by cause of deaths National Population",null,null,null,null,null,"II - Aggregate mortality rates National Population",null,null,null,null,null,"III - Mortality rates all causes National Population",null,null,null,null,null,null,null,"IV - Life expectancy National Population",null,null,null,null,null,"Select age",65,null,null,null,null,null,null,null,null,null,null,null,null,"I - Mortality rates by cause of deaths Cluster vs National Population",null,null,null,null,null,"II - Aggregate mortality rates Cluster vs National Population",null,null,null,null,null,"III - Mortality rates all causes Cluster Population",null,null,null,null,null,null,null,"IV - Life expectancy Cluster Population"]
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[]
[null,"Death probability",null,"age",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Death probability",null,"age"]
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[]
[null,"Death probability",null,"age",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Death probability",null,"age"]
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[null,null,"trend type",{"$f":"INDEX(trends_type,MATCH($B$7,Causes,0),MATCH(C57,genders,0))","v":"historical2"}]
[null,null,"trend national",{"$f":"INDEX(trends,MATCH($B$7,Causes,0),MATCH(C57,genders,0))","v":-0.21355482716959101},null,"alpha",null,{"$f":"INDEX(alpha,MATCH($B$7,Causes,0),MATCH(C57,genders,0))","v":0.95042380000000004}]
[null,null,"Adjustment factors",{"$f":"INDEX(adjustment_use,MATCH($B$7,Causes,0),MATCH(C57,genders,0))","v":"no"},null,"beta",null,{"$f":"INDEX(beta,MATCH($B$7,Causes,0),MATCH(C57,genders,0))","v":-0.73493090000000005}]
[null,null,null,null,null,"trend cluster",null,{"$f":"D52*H52","v":-0.20296759034686593}]
[]
[null,"Death rate",null,"age",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Death rate",null,"age"]
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{"sheet":"Forecasts Cerebrovascular","index":10,"n_rows":105,"n_cols":48,"rows_kept":105,"cut":false,"hidden":false,"merged":[[5,25,5,47],[52,2,53,2],[52,3,53,3],[0,2,3,9],[0,10,3,16],[5,1,5,23],[11,2,12,2],[11,3,12,3]]}
[null,null,"Society of actuaries - Cause of deaths forecasting tool",null,null,null,null,null,null,null,"Forecast Cerebrovascular"]
[]
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[]
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[null,"central scenario - diffusion LC",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"central scenario - diffusion LC"]
[null,"Cerebrovascular",null,"National Population",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cerebrovascular",null,"Cluster Population"]
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[]
[null,"Parameters Female",null,{"$f":"TRANSPOSE(Ages_group)","v":0},"1 - 4","5 - 9","10 - 14","15 - 19","20 - 24","25 - 29","30 - 34","35 - 39","40 - 44","45 - 49","50 - 54","55 - 59","60 - 64","65 - 69","70 - 74","75 - 79","80 - 84","85 - 89","90 - 94","95+"]
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[]
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{"sheet":"Forecasts NeoSmok","index":11,"n_rows":105,"n_cols":48,"rows_kept":105,"cut":false,"hidden":false,"merged":[[5,25,5,47],[52,2,53,2],[52,3,53,3],[0,2,3,9],[0,10,3,16],[5,1,5,23],[11,2,12,2],[11,3,12,3]]}
[null,null,"Society of actuaries - Cause of deaths forecasting tool",null,null,null,null,null,null,null,"Forecast NeoSmok"]
[]
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[]
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[]
[null,"Death rate",null,"age",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Death rate",null,"age"]
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[null,null,"Society of actuaries - Cause of deaths forecasting tool",null,null,null,null,null,null,null,"Forecast Neoplasm"]
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[null,"central scenario - diffusion LC",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"central scenario - diffusion LC"]
[null,"Neoplasm",null,"National Population",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Neoplasm",null,"Cluster Population"]
[null,"Parameters Male",null,{"$f":"TRANSPOSE(Ages_group)","v":0},"1 - 4","5 - 9","10 - 14","15 - 19","20 - 24","25 - 29","30 - 34","35 - 39","40 - 44","45 - 49","50 - 54","55 - 59","60 - 64","65 - 69","70 - 74","75 - 79","80 - 84","85 - 89","90 - 94","95+"]
[null,null,"b_x",{"$f":"INDEX(b_x_M,MATCH($B$7,Causes,0),MATCH(D8,Ages_group,0))","v":3.6258041213466402E-2},6.1338670544853403E-2,4.2190546511801201E-2,5.5805621710997802E-2,5.8967106228776899E-2,6.7538030038822097E-2,1.46248646721223E-2,2.7202398721281301E-2,4.4380416216445E-2,6.2345346374935197E-2,6.1434231644963498E-2,3.4552729458500402E-2,2.08370098086289E-2,3.0470367173157101E-2,5.1082545102579299E-2,5.5692289397640198E-2,5.4316812951220102E-2,5.94497295545885E-2,6.5782833823513298E-2,5.1032820569323803E-2,4.4697588282383301E-2]
[null,null,"trend type",{"$f":"INDEX(trends_type,MATCH($B$7,Causes,0),MATCH(C16,genders,0))","v":"historical2"}]
[null,null,"trend national",{"$f":"INDEX(trends,MATCH($B$7,Causes,0),MATCH(C16,genders,0))","v":-0.12882735571778001},null,"alpha",null,{"$f":"INDEX(alpha,MATCH($B$7,Causes,0),MATCH(C16,genders,0))","v":0.98414990000000002}]
[null,null,"Adjustment factors",{"$f":"INDEX(adjustment_use,MATCH($B$7,Causes,0),MATCH(C16,genders,0))","v":"no"},null,"beta",null,{"$f":"INDEX(beta,MATCH($B$7,Causes,0),MATCH(C16,genders,0))","v":-0.21480089999999999}]
[null,null,null,null,null,"trend cluster",null,{"$f":"D11*H11","v":-0.12678542924691763}]
[]
[null,"Death rate",null,"age",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Death rate",null,"age"]
[null,"sex","M",{"$f":"TRANSPOSE(Ages_group)","v":0},"1 - 4","5 - 9","10 - 14","15 - 19","20 - 24","25 - 29","30 - 34","35 - 39","40 - 44","45 - 49","50 - 54","55 - 59","60 - 64","65 - 69","70 - 74","75 - 79","80 - 84","85 - 89","90 - 94","95+",null,"sex","M",{"$f":"TRANSPOSE(Ages_group)","v":0},"1 - 4","5 - 9","10 - 14","15 - 19","20 - 24","25 - 29","30 - 34","35 - 39","40 - 44","45 - 49","50 - 54","55 - 59","60 - 64","65 - 69","70 - 74","75 - 79","80 - 84","85 - 89","90 - 94","95+"]
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[]
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[]
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{"sheet":"Forecasts Dementia","index":13,"n_rows":105,"n_cols":48,"rows_kept":105,"cut":false,"hidden":false,"merged":[[5,25,5,47],[52,2,53,2],[52,3,53,3],[0,2,3,9],[0,10,3,16],[5,1,5,23],[11,2,12,2],[11,3,12,3]]}
[null,null,"Society of actuaries - Cause of deaths forecasting tool",null,null,null,null,null,null,null,"Forecast Dementia"]
[]
[]
[]
[]
[null,"central scenario - diffusion LC",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"central scenario - diffusion LC"]
[null,"Dementia",null,"National Population",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Dementia",null,"Cluster Population"]
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[]
[null,"Death rate",null,"age",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Death rate",null,"age"]
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[]
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[]
[null,"Death rate",null,"age",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Death rate",null,"age"]
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{"sheet":"Forecasts Diabetes","index":14,"n_rows":105,"n_cols":48,"rows_kept":105,"cut":false,"hidden":false,"merged":[[5,25,5,47],[52,2,53,2],[52,3,53,3],[0,2,3,9],[0,10,3,16],[5,1,5,23],[11,2,12,2],[11,3,12,3]]}
[null,null,"Society of actuaries - Cause of deaths forecasting tool",null,null,null,null,null,null,null,"Forecast Diabetes"]
[]
[]
[]
[]
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[]
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[]
[null,"Parameters Female",null,{"$f":"TRANSPOSE(Ages_group)","v":0},"1 - 4","5 - 9","10 - 14","15 - 19","20 - 24","25 - 29","30 - 34","35 - 39","40 - 44","45 - 49","50 - 54","55 - 59","60 - 64","65 - 69","70 - 74","75 - 79","80 - 84","85 - 89","90 - 94","95+"]
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[null,null,"trend type",{"$f":"INDEX(trends_type,MATCH($B$7,Causes,0),MATCH(C57,genders,0))","v":"historical2"}]
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[null,null,"Adjustment factors",{"$f":"INDEX(adjustment_use,MATCH($B$7,Causes,0),MATCH(C57,genders,0))","v":"no"},null,"beta",null,{"$f":"INDEX(beta,MATCH($B$7,Causes,0),MATCH(C57,genders,0))","v":-0.54438839999999999}]
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[]
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{"sheet":"Forecasts Influenza","index":15,"n_rows":105,"n_cols":48,"rows_kept":105,"cut":false,"hidden":false,"merged":[[5,25,5,47],[52,2,53,2],[52,3,53,3],[0,2,3,9],[0,10,3,16],[5,1,5,23],[11,2,12,2],[11,3,12,3]]}
[null,null,"Society of actuaries - Cause of deaths forecasting tool",null,null,null,null,null,null,null,"Forecast Influenza"]
[]
[]
[]
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[null,"central scenario - diffusion LC",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"central scenario - diffusion LC"]
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[]
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{"sheet":"Forecasts Respiratory","index":16,"n_rows":105,"n_cols":48,"rows_kept":105,"cut":false,"hidden":false,"merged":[[5,25,5,47],[52,2,53,2],[52,3,53,3],[0,2,3,9],[0,10,3,16],[5,1,5,23],[11,2,12,2],[11,3,12,3]]}
[null,null,"Society of actuaries - Cause of deaths forecasting tool",null,null,null,null,null,null,null,"Forecast Respiratory"]
[]
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[]
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[]
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{"sheet":"Forecasts Drug","index":17,"n_rows":105,"n_cols":48,"rows_kept":105,"cut":false,"hidden":false,"merged":[[5,25,5,47],[52,2,53,2],[52,3,53,3],[0,2,3,9],[0,10,3,16],[5,1,5,23],[11,2,12,2],[11,3,12,3]]}
[null,null,"Society of actuaries - Cause of deaths forecasting tool",null,null,null,null,null,null,null,"Forecast Drug"]
[]
[]
[]
[]
[null,"central scenario - diffusion LC",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"central scenario - diffusion LC"]
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[]
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[]
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[]
[null,"Parameters Female",null,{"$f":"TRANSPOSE(Ages_group)","v":0},"1 - 4","5 - 9","10 - 14","15 - 19","20 - 24","25 - 29","30 - 34","35 - 39","40 - 44","45 - 49","50 - 54","55 - 59","60 - 64","65 - 69","70 - 74","75 - 79","80 - 84","85 - 89","90 - 94","95+"]
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[null,null,"trend type",{"$f":"INDEX(trends_type,MATCH($B$7,Causes,0),MATCH(C57,genders,0))","v":"historical2"}]
[null,null,"trend national",{"$f":"INDEX(trends,MATCH($B$7,Causes,0),MATCH(C57,genders,0))","v":5.8541209246970004E-3},null,"alpha",null,{"$f":"INDEX(alpha,MATCH($B$7,Causes,0),MATCH(C57,genders,0))","v":1.1210708}]
[null,null,"Adjustment factors",{"$f":"INDEX(adjustment_use,MATCH($B$7,Causes,0),MATCH(C57,genders,0))","v":"no"},null,"beta",null,{"$f":"INDEX(beta,MATCH($B$7,Causes,0),MATCH(C57,genders,0))","v":0.59056750000000002}]
[null,null,null,null,null,"trend cluster",null,{"$f":"D52*H52","v":6.5628840283468064E-3}]
[]
[null,"Death rate",null,"age",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Death rate",null,"age"]
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{"sheet":"Forecasts Other","index":19,"n_rows":105,"n_cols":48,"rows_kept":105,"cut":false,"hidden":false,"merged":[[5,25,5,47],[52,2,53,2],[52,3,53,3],[0,2,3,9],[0,10,3,16],[5,1,5,23],[11,2,12,2],[11,3,12,3]]}
[null,null,"Society of actuaries - Cause of deaths forecasting tool",null,null,null,null,null,null,null,"Forecast Other"]
[]
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[]
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[]
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