Use of Multidimensional Item Response Theory Methods for Dementia Prevalence Prediction: An Example Using the Health and Retirement Survey and the Aging, Demographics, and Memory Study

Use of Multidimensional Item Response Theory Methods for Dementia Prevalence Prediction: An Example Using the Health and Retirement Survey and the Aging, Demographics, and Memory Study Publisher

Nichols E¹ ; Abdallah F² ; Abdoli A³ ; Abualhasan A² ; Abugharbieh E⁴ ; Afshin A^{1, 5} ; Akinyemi RO^{6, 7} ; Alanezi FM⁸ ; Alipour V^{9, 10} ; Almasihashiani A¹¹ ; Arabloo J⁹ ; Ashrafganjouei A¹² ; Ayano G¹³ ; Ayusomateos JL^{14, 15} Show All Authors

Nichols E¹
Abdallah F²
Abdoli A³
Abualhasan A²
Abugharbieh E⁴
Afshin A^{1, 5}
Akinyemi RO^{6, 7}
Alanezi FM⁸
Alipour V^{9, 10}
Almasihashiani A¹¹
Arabloo J⁹
Ashrafganjouei A¹²
Ayano G¹³
Ayusomateos JL^{14, 15}
Baig AA¹⁶
Banach M^{17, 18}
Barboza MA^{19, 20}
Barkercollo SL²¹
Baune BT^{22, 23}
Bhagavathula AS^{24, 25}
Bhattacharyya K^{26, 27}
Bijani A²⁸
Biswas A²⁹
Boloor A³⁰
Brayne C³¹
Brenner H³²
Burkart K^{1, 5}
Nagaraja SB³³
Carvalho F³⁴
Castrodearaujo LFS³⁵
Catalalopez F^{36, 37}
Cerin E^{38, 39}
Cherbuin N⁴⁰
Chu DT⁴¹
Dai X¹
De Sajunior AR⁴²
Djalalinia S⁴³
Douiri A⁴⁴
Edvardsson D^{45, 46}
Eljaafary SI²
Eskandarieh S⁴⁷
Faro A⁴⁸
Farzadfar F⁴⁹
Feigin VL^{1, 50, 51, 141}
Fereshtehnejad SM^{53, 54}
Fernandes E⁵⁵
Ferrara P⁵⁶
Filip I^{57, 58}
Fischer F⁵⁹
Gaidhane S⁶⁰
Galluzzo L⁶¹
Gebremeskel GG^{62, 63}
Ghashghaee A^{9, 64}
Gialluisi A⁶⁵
Gnedovskaya EV⁶⁶
Golechha M⁶⁷
Gupta R^{68, 69}
Hachinski V^{70, 71}
Haider MR⁷²
Haile TG⁶²
Hamiduzzaman M⁷³
Hankey GJ^{74, 75}
Hay SI^{1, 5}
Heidari G⁷⁶
Heidarisoureshjani R⁷⁷
Ho HC⁷⁸
Househ M⁷⁹
Hwang BF⁸⁰
Iacoviello L^{65, 81}
Ilesanmi OS^{82, 83}
Ilic IM⁸⁴
Ilic MD⁸⁵
Irvani SSN⁸⁶
Iwagami M^{87, 88}
Iyamu IO^{89, 90}
Jha RP^{91, 92}
Kalani R⁹³
Karch A⁹⁴
Kasa AS⁹⁵
Khader YS⁹⁶
Khan EA⁹⁷
Khatib MN⁹⁸
Kim YJ⁹⁹
Kisa S¹⁰⁰
Kisa A^{101, 102}
Kivimaki M^{103, 104}
Koyanagi A^{105, 106}
Kumar M^{107, 108}
Landires I^{109, 110}
Lasrado S¹¹¹
Li B¹¹²
Lim SS^{1, 5}
Liu X¹¹³
Kunjathur SM¹¹⁴
Majeed A¹¹⁵
Malik P^{116, 117}
Mehndiratta MM^{118, 119}
Menezes RG¹²⁰
Mohammad Y¹²¹
Mohammed S^{122, 123}
Mokdad AH^{1, 5}
Moni MA¹²⁴
Nagel G¹²⁵
Naveed M¹²⁶
Nayak VC¹²⁷
Nguyen CT¹²⁸
Nguyen HLT¹²⁸
Nunezsamudio V^{129, 130}
Olagunju AT^{131, 132}
Ostroff SM^{1, 133}
Otstavnov N¹³⁴
Owolabi MO^{135, 136}
Kan FP¹³⁷
Patel UK¹³⁸
Phillips MR^{139, 140}
Piradov MA^{51, 141}
Pond CD¹⁴²
Pottoo FH¹⁴³
Prada SI^{144, 145}
Radfar A¹⁴⁶
Rahim F^{147, 148}
Rana J^{149, 150}
Rashedi V¹⁵¹
Rawaf S^{115, 152}
Rawaf DL^{153, 154}
Reinig N¹
Renzaho AMN^{155, 156}
Rezaei N^{157, 158}
Rezapour A⁹
Romoli M^{159, 160}
Roshandel G¹⁶¹
Sachdev PS^{162, 163}
Sahebkar A^{164, 165}
Sahraian MA⁴⁷
Samaei M¹⁶⁶
Saylan M¹⁶⁷
Sha F¹⁶⁸
Shaikh MA¹⁶⁹
Shibuya K¹⁷⁰
Shigematsu M¹⁷¹
Shin JI¹⁷²
Shiri R¹⁷³
Silva DAS¹⁷⁴
Singh JA^{175, 176}
Singhal D^{177, 178}
Skryabin VY¹⁷⁹
Skryabina AA¹⁸⁰
Soheili A¹⁸¹
Sotoudeh H¹⁸²
Spurlock EE¹
Szoeke CEI^{183, 184}
Tabaresseisdedos R^{185, 186}
Taddele BW¹⁸⁷
Tovanipalone MR^{188, 189}
Tsegaye GW¹⁹⁰
Vacante M¹⁹¹
Venketasubramanian N^{192, 193}
Vidale S^{194, 195}
Vlassov V¹⁹⁶
Vu GT¹⁹⁷
Wang YP¹⁹⁸
Weiss J¹⁹⁹
Weldemariam AH²⁰⁰
Westerman R²⁰¹
Wimo A²⁰²
Winkler AS^{203, 204}
Wu C^{205, 206}
Yadollahpour A²⁰⁷
Yesiltepe M^{208, 209}
Yonemoto N^{210, 211}
Yu C²¹²
Zastrozhin MS^{213, 214}
Zastrozhina A²¹⁵
Zhang ZJ²¹⁶
Murray CJL^{1, 5}
Vos T^{1, 5}

Source: BMC Medical Informatics and Decision Making Published:2021

Abstract

Background: Data sparsity is a major limitation to estimating national and global dementia burden. Surveys with full diagnostic evaluations of dementia prevalence are prohibitively resource-intensive in many settings. However, validation samples from nationally representative surveys allow for the development of algorithms for the prediction of dementia prevalence nationally. Methods: Using cognitive testing data and data on functional limitations from Wave A (2001–2003) of the ADAMS study (n = 744) and the 2000 wave of the HRS study (n = 6358) we estimated a two-dimensional item response theory model to calculate cognition and function scores for all individuals over 70. Based on diagnostic information from the formal clinical adjudication in ADAMS, we fit a logistic regression model for the classification of dementia status using cognition and function scores and applied this algorithm to the full HRS sample to calculate dementia prevalence by age and sex. Results: Our algorithm had a cross-validated predictive accuracy of 88% (86–90), and an area under the curve of 0.97 (0.97–0.98) in ADAMS. Prevalence was higher in females than males and increased over age, with a prevalence of 4% (3–4) in individuals 70–79, 11% (9–12) in individuals 80–89 years old, and 28% (22–35) in those 90 and older. Conclusions: Our model had similar or better accuracy as compared to previously reviewed algorithms for the prediction of dementia prevalence in HRS, while utilizing more flexible methods. These methods could be more easily generalized and utilized to estimate dementia prevalence in other national surveys. © 2021, The Author(s).

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Style	Citing Format
MLA	Nichols E, et al.. "Use of Multidimensional Item Response Theory Methods for Dementia Prevalence Prediction: An Example Using the Health and Retirement Survey and the Aging, Demographics, and Memory Study." BMC Medical Informatics and Decision Making, vol. 21, no. 1, 2021, pp. -.
APA	Nichols E, Abdallah F, Abdoli A, Abualhasan A, Abugharbieh E, Afshin A, Akinyemi RO, Alanezi FM, Alipour V, Almasihashiani A, Arabloo J, Ashrafganjouei A, Ayano G, Ayusomateos JL, Baig AA, Banach M, Barboza MA, Barkercollo SL, Baune BT, ... Vos T (2021). Use of Multidimensional Item Response Theory Methods for Dementia Prevalence Prediction: An Example Using the Health and Retirement Survey and the Aging, Demographics, and Memory Study. BMC Medical Informatics and Decision Making, 21(1), -.
Chicago	Nichols E, Abdallah F, Abdoli A, Abualhasan A, Abugharbieh E, Afshin A, Akinyemi RO, et al.. "Use of Multidimensional Item Response Theory Methods for Dementia Prevalence Prediction: An Example Using the Health and Retirement Survey and the Aging, Demographics, and Memory Study." BMC Medical Informatics and Decision Making 21, no. 1 (2021): -.
Harvard	Nichols E et al. (2021) 'Use of Multidimensional Item Response Theory Methods for Dementia Prevalence Prediction: An Example Using the Health and Retirement Survey and the Aging, Demographics, and Memory Study', BMC Medical Informatics and Decision Making, 21(1), pp. -.
Vancouver	Nichols E, Abdallah F, Abdoli A, Abualhasan A, Abugharbieh E, Afshin A, et al.. Use of Multidimensional Item Response Theory Methods for Dementia Prevalence Prediction: An Example Using the Health and Retirement Survey and the Aging, Demographics, and Memory Study. BMC Medical Informatics and Decision Making. 2021;21(1):-.
BibTex	@article{ author = {Nichols E and Abdallah F and Abdoli A and Abualhasan A and Abugharbieh E and Afshin A and Akinyemi RO and Alanezi FM and Alipour V and Almasihashiani A and Arabloo J and Ashrafganjouei A and Ayano G and Ayusomateos JL and Baig AA and Banach M and Barboza MA and Barkercollo SL and Baune BT and Bhagavathula AS and Bhattacharyya K and Bijani A and Biswas A and Boloor A and Brayne C and Brenner H and Burkart K and Nagaraja SB and Carvalho F and Castrodearaujo LFS and Catalalopez F and Cerin E and Cherbuin N and Chu DT and Dai X and De Sajunior AR and Djalalinia S and Douiri A and Edvardsson D and Eljaafary SI and Eskandarieh S and Faro A and Farzadfar F and Feigin VL and Fereshtehnejad SM and Fernandes E and Ferrara P and Filip I and Fischer F and Gaidhane S and Galluzzo L and Gebremeskel GG and Ghashghaee A and Gialluisi A and Gnedovskaya EV and Golechha M and Gupta R and Hachinski V and Haider MR and Haile TG and Hamiduzzaman M and Hankey GJ and Hay SI and Heidari G and Heidarisoureshjani R and Ho HC and Househ M and Hwang BF and Iacoviello L and Ilesanmi OS and Ilic IM and Ilic MD and Irvani SSN and Iwagami M and Iyamu IO and Jha RP and Kalani R and Karch A and Kasa AS and Khader YS and Khan EA and Khatib MN and Kim YJ and Kisa S and Kisa A and Kivimaki M and Koyanagi A and Kumar M and Landires I and Lasrado S and Li B and Lim SS and Liu X and Kunjathur SM and Majeed A and Malik P and Mehndiratta MM and Menezes RG and Mohammad Y and Mohammed S and Mokdad AH and Moni MA and Nagel G and Naveed M and Nayak VC and Nguyen CT and Nguyen HLT and Nunezsamudio V and Olagunju AT and Ostroff SM and Otstavnov N and Owolabi MO and Kan FP and Patel UK and Phillips MR and Piradov MA and Pond CD and Pottoo FH and Prada SI and Radfar A and Rahim F and Rana J and Rashedi V and Rawaf S and Rawaf DL and Reinig N and Renzaho AMN and Rezaei N and Rezapour A and Romoli M and Roshandel G and Sachdev PS and Sahebkar A and Sahraian MA and Samaei M and Saylan M and Sha F and Shaikh MA and Shibuya K and Shigematsu M and Shin JI and Shiri R and Silva DAS and Singh JA and Singhal D and Skryabin VY and Skryabina AA and Soheili A and Sotoudeh H and Spurlock EE and Szoeke CEI and Tabaresseisdedos R and Taddele BW and Tovanipalone MR and Tsegaye GW and Vacante M and Venketasubramanian N and Vidale S and Vlassov V and Vu GT and Wang YP and Weiss J and Weldemariam AH and Westerman R and Wimo A and Winkler AS and Wu C and Yadollahpour A and Yesiltepe M and Yonemoto N and Yu C and Zastrozhin MS and Zastrozhina A and Zhang ZJ and Murray CJL and Vos T}, title = {Use of Multidimensional Item Response Theory Methods for Dementia Prevalence Prediction: An Example Using the Health and Retirement Survey and the Aging, Demographics, and Memory Study}, journal = {BMC Medical Informatics and Decision Making}, volume = {21}, number = {1}, pages = {-}, year = {2021} }
RIS	TY - JOUR AU - Nichols E AU - Abdallah F AU - Abdoli A AU - Abualhasan A AU - Abugharbieh E AU - Afshin A AU - Akinyemi RO AU - Alanezi FM AU - Alipour V AU - Almasihashiani A AU - Arabloo J AU - Ashrafganjouei A AU - Ayano G AU - Ayusomateos JL AU - Baig AA AU - Banach M AU - Barboza MA AU - Barkercollo SL AU - Baune BT AU - Bhagavathula AS AU - Bhattacharyya K AU - Bijani A AU - Biswas A AU - Boloor A AU - Brayne C AU - Brenner H AU - Burkart K AU - Nagaraja SB AU - Carvalho F AU - Castrodearaujo LFS AU - Catalalopez F AU - Cerin E AU - Cherbuin N AU - Chu DT AU - Dai X AU - De Sajunior AR AU - Djalalinia S AU - Douiri A AU - Edvardsson D AU - Eljaafary SI AU - Eskandarieh S AU - Faro A AU - Farzadfar F AU - Feigin VL AU - Fereshtehnejad SM AU - Fernandes E AU - Ferrara P AU - Filip I AU - Fischer F AU - Gaidhane S AU - Galluzzo L AU - Gebremeskel GG AU - Ghashghaee A AU - Gialluisi A AU - Gnedovskaya EV AU - Golechha M AU - Gupta R AU - Hachinski V AU - Haider MR AU - Haile TG AU - Hamiduzzaman M AU - Hankey GJ AU - Hay SI AU - Heidari G AU - Heidarisoureshjani R AU - Ho HC AU - Househ M AU - Hwang BF AU - Iacoviello L AU - Ilesanmi OS AU - Ilic IM AU - Ilic MD AU - Irvani SSN AU - Iwagami M AU - Iyamu IO AU - Jha RP AU - Kalani R AU - Karch A AU - Kasa AS AU - Khader YS AU - Khan EA AU - Khatib MN AU - Kim YJ AU - Kisa S AU - Kisa A AU - Kivimaki M AU - Koyanagi A AU - Kumar M AU - Landires I AU - Lasrado S AU - Li B AU - Lim SS AU - Liu X AU - Kunjathur SM AU - Majeed A AU - Malik P AU - Mehndiratta MM AU - Menezes RG AU - Mohammad Y AU - Mohammed S AU - Mokdad AH AU - Moni MA AU - Nagel G AU - Naveed M AU - Nayak VC AU - Nguyen CT AU - Nguyen HLT AU - Nunezsamudio V AU - Olagunju AT AU - Ostroff SM AU - Otstavnov N AU - Owolabi MO AU - Kan FP AU - Patel UK AU - Phillips MR AU - Piradov MA AU - Pond CD AU - Pottoo FH AU - Prada SI AU - Radfar A AU - Rahim F AU - Rana J AU - Rashedi V AU - Rawaf S AU - Rawaf DL AU - Reinig N AU - Renzaho AMN AU - Rezaei N AU - Rezapour A AU - Romoli M AU - Roshandel G AU - Sachdev PS AU - Sahebkar A AU - Sahraian MA AU - Samaei M AU - Saylan M AU - Sha F AU - Shaikh MA AU - Shibuya K AU - Shigematsu M AU - Shin JI AU - Shiri R AU - Silva DAS AU - Singh JA AU - Singhal D AU - Skryabin VY AU - Skryabina AA AU - Soheili A AU - Sotoudeh H AU - Spurlock EE AU - Szoeke CEI AU - Tabaresseisdedos R AU - Taddele BW AU - Tovanipalone MR AU - Tsegaye GW AU - Vacante M AU - Venketasubramanian N AU - Vidale S AU - Vlassov V AU - Vu GT AU - Wang YP AU - Weiss J AU - Weldemariam AH AU - Westerman R AU - Wimo A AU - Winkler AS AU - Wu C AU - Yadollahpour A AU - Yesiltepe M AU - Yonemoto N AU - Yu C AU - Zastrozhin MS AU - Zastrozhina A AU - Zhang ZJ AU - Murray CJL AU - Vos T TI - Use of Multidimensional Item Response Theory Methods for Dementia Prevalence Prediction: An Example Using the Health and Retirement Survey and the Aging, Demographics, and Memory Study JO - BMC Medical Informatics and Decision Making VL - 21 IS - 1 SP - EP - PY - 2021 ER -

Style

Citing Format

MLA

Nichols E, et al.. "Use of Multidimensional Item Response Theory Methods for Dementia Prevalence Prediction: An Example Using the Health and Retirement Survey and the Aging, Demographics, and Memory Study." BMC Medical Informatics and Decision Making, vol. 21, no. 1, 2021, pp. -.

APA

Nichols E, Abdallah F, Abdoli A, Abualhasan A, Abugharbieh E, Afshin A, Akinyemi RO, Alanezi FM, Alipour V, Almasihashiani A, Arabloo J, Ashrafganjouei A, Ayano G, Ayusomateos JL, Baig AA, Banach M, Barboza MA, Barkercollo SL, Baune BT, ... Vos T (2021). Use of Multidimensional Item Response Theory Methods for Dementia Prevalence Prediction: An Example Using the Health and Retirement Survey and the Aging, Demographics, and Memory Study. BMC Medical Informatics and Decision Making, 21(1), -.

Chicago

Nichols E, Abdallah F, Abdoli A, Abualhasan A, Abugharbieh E, Afshin A, Akinyemi RO, et al.. "Use of Multidimensional Item Response Theory Methods for Dementia Prevalence Prediction: An Example Using the Health and Retirement Survey and the Aging, Demographics, and Memory Study." BMC Medical Informatics and Decision Making 21, no. 1 (2021): -.

Harvard

Nichols E et al. (2021) 'Use of Multidimensional Item Response Theory Methods for Dementia Prevalence Prediction: An Example Using the Health and Retirement Survey and the Aging, Demographics, and Memory Study', BMC Medical Informatics and Decision Making, 21(1), pp. -.

Vancouver

Nichols E, Abdallah F, Abdoli A, Abualhasan A, Abugharbieh E, Afshin A, et al.. Use of Multidimensional Item Response Theory Methods for Dementia Prevalence Prediction: An Example Using the Health and Retirement Survey and the Aging, Demographics, and Memory Study. BMC Medical Informatics and Decision Making. 2021;21(1):-.

BibTex

@article{ author = {Nichols E and Abdallah F and Abdoli A and Abualhasan A and Abugharbieh E and Afshin A and Akinyemi RO and Alanezi FM and Alipour V and Almasihashiani A and Arabloo J and Ashrafganjouei A and Ayano G and Ayusomateos JL and Baig AA and Banach M and Barboza MA and Barkercollo SL and Baune BT and Bhagavathula AS and Bhattacharyya K and Bijani A and Biswas A and Boloor A and Brayne C and Brenner H and Burkart K and Nagaraja SB and Carvalho F and Castrodearaujo LFS and Catalalopez F and Cerin E and Cherbuin N and Chu DT and Dai X and De Sajunior AR and Djalalinia S and Douiri A and Edvardsson D and Eljaafary SI and Eskandarieh S and Faro A and Farzadfar F and Feigin VL and Fereshtehnejad SM and Fernandes E and Ferrara P and Filip I and Fischer F and Gaidhane S and Galluzzo L and Gebremeskel GG and Ghashghaee A and Gialluisi A and Gnedovskaya EV and Golechha M and Gupta R and Hachinski V and Haider MR and Haile TG and Hamiduzzaman M and Hankey GJ and Hay SI and Heidari G and Heidarisoureshjani R and Ho HC and Househ M and Hwang BF and Iacoviello L and Ilesanmi OS and Ilic IM and Ilic MD and Irvani SSN and Iwagami M and Iyamu IO and Jha RP and Kalani R and Karch A and Kasa AS and Khader YS and Khan EA and Khatib MN and Kim YJ and Kisa S and Kisa A and Kivimaki M and Koyanagi A and Kumar M and Landires I and Lasrado S and Li B and Lim SS and Liu X and Kunjathur SM and Majeed A and Malik P and Mehndiratta MM and Menezes RG and Mohammad Y and Mohammed S and Mokdad AH and Moni MA and Nagel G and Naveed M and Nayak VC and Nguyen CT and Nguyen HLT and Nunezsamudio V and Olagunju AT and Ostroff SM and Otstavnov N and Owolabi MO and Kan FP and Patel UK and Phillips MR and Piradov MA and Pond CD and Pottoo FH and Prada SI and Radfar A and Rahim F and Rana J and Rashedi V and Rawaf S and Rawaf DL and Reinig N and Renzaho AMN and Rezaei N and Rezapour A and Romoli M and Roshandel G and Sachdev PS and Sahebkar A and Sahraian MA and Samaei M and Saylan M and Sha F and Shaikh MA and Shibuya K and Shigematsu M and Shin JI and Shiri R and Silva DAS and Singh JA and Singhal D and Skryabin VY and Skryabina AA and Soheili A and Sotoudeh H and Spurlock EE and Szoeke CEI and Tabaresseisdedos R and Taddele BW and Tovanipalone MR and Tsegaye GW and Vacante M and Venketasubramanian N and Vidale S and Vlassov V and Vu GT and Wang YP and Weiss J and Weldemariam AH and Westerman R and Wimo A and Winkler AS and Wu C and Yadollahpour A and Yesiltepe M and Yonemoto N and Yu C and Zastrozhin MS and Zastrozhina A and Zhang ZJ and Murray CJL and Vos T}, title = {Use of Multidimensional Item Response Theory Methods for Dementia Prevalence Prediction: An Example Using the Health and Retirement Survey and the Aging, Demographics, and Memory Study}, journal = {BMC Medical Informatics and Decision Making}, volume = {21}, number = {1}, pages = {-}, year = {2021} }

RIS

TY - JOUR
AU - Nichols E
AU - Abdallah F
AU - Abdoli A
AU - Abualhasan A
AU - Abugharbieh E
AU - Afshin A
AU - Akinyemi RO
AU - Alanezi FM
AU - Alipour V
AU - Almasihashiani A
AU - Arabloo J
AU - Ashrafganjouei A
AU - Ayano G
AU - Ayusomateos JL
AU - Baig AA
AU - Banach M
AU - Barboza MA
AU - Barkercollo SL
AU - Baune BT
AU - Bhagavathula AS
AU - Bhattacharyya K
AU - Bijani A
AU - Biswas A
AU - Boloor A
AU - Brayne C
AU - Brenner H
AU - Burkart K
AU - Nagaraja SB
AU - Carvalho F
AU - Castrodearaujo LFS
AU - Catalalopez F
AU - Cerin E
AU - Cherbuin N
AU - Chu DT
AU - Dai X
AU - De Sajunior AR
AU - Djalalinia S
AU - Douiri A
AU - Edvardsson D
AU - Eljaafary SI
AU - Eskandarieh S
AU - Faro A
AU - Farzadfar F
AU - Feigin VL
AU - Fereshtehnejad SM
AU - Fernandes E
AU - Ferrara P
AU - Filip I
AU - Fischer F
AU - Gaidhane S
AU - Galluzzo L
AU - Gebremeskel GG
AU - Ghashghaee A
AU - Gialluisi A
AU - Gnedovskaya EV
AU - Golechha M
AU - Gupta R
AU - Hachinski V
AU - Haider MR
AU - Haile TG
AU - Hamiduzzaman M
AU - Hankey GJ
AU - Hay SI
AU - Heidari G
AU - Heidarisoureshjani R
AU - Ho HC
AU - Househ M
AU - Hwang BF
AU - Iacoviello L
AU - Ilesanmi OS
AU - Ilic IM
AU - Ilic MD
AU - Irvani SSN
AU - Iwagami M
AU - Iyamu IO
AU - Jha RP
AU - Kalani R
AU - Karch A
AU - Kasa AS
AU - Khader YS
AU - Khan EA
AU - Khatib MN
AU - Kim YJ
AU - Kisa S
AU - Kisa A
AU - Kivimaki M
AU - Koyanagi A
AU - Kumar M
AU - Landires I
AU - Lasrado S
AU - Li B
AU - Lim SS
AU - Liu X
AU - Kunjathur SM
AU - Majeed A
AU - Malik P
AU - Mehndiratta MM
AU - Menezes RG
AU - Mohammad Y
AU - Mohammed S
AU - Mokdad AH
AU - Moni MA
AU - Nagel G
AU - Naveed M
AU - Nayak VC
AU - Nguyen CT
AU - Nguyen HLT
AU - Nunezsamudio V
AU - Olagunju AT
AU - Ostroff SM
AU - Otstavnov N
AU - Owolabi MO
AU - Kan FP
AU - Patel UK
AU - Phillips MR
AU - Piradov MA
AU - Pond CD
AU - Pottoo FH
AU - Prada SI
AU - Radfar A
AU - Rahim F
AU - Rana J
AU - Rashedi V
AU - Rawaf S
AU - Rawaf DL
AU - Reinig N
AU - Renzaho AMN
AU - Rezaei N
AU - Rezapour A
AU - Romoli M
AU - Roshandel G
AU - Sachdev PS
AU - Sahebkar A
AU - Sahraian MA
AU - Samaei M
AU - Saylan M
AU - Sha F
AU - Shaikh MA
AU - Shibuya K
AU - Shigematsu M
AU - Shin JI
AU - Shiri R
AU - Silva DAS
AU - Singh JA
AU - Singhal D
AU - Skryabin VY
AU - Skryabina AA
AU - Soheili A
AU - Sotoudeh H
AU - Spurlock EE
AU - Szoeke CEI
AU - Tabaresseisdedos R
AU - Taddele BW
AU - Tovanipalone MR
AU - Tsegaye GW
AU - Vacante M
AU - Venketasubramanian N
AU - Vidale S
AU - Vlassov V
AU - Vu GT
AU - Wang YP
AU - Weiss J
AU - Weldemariam AH
AU - Westerman R
AU - Wimo A
AU - Winkler AS
AU - Wu C
AU - Yadollahpour A
AU - Yesiltepe M
AU - Yonemoto N
AU - Yu C
AU - Zastrozhin MS
AU - Zastrozhina A
AU - Zhang ZJ
AU - Murray CJL
AU - Vos T
TI - Use of Multidimensional Item Response Theory Methods for Dementia Prevalence Prediction: An Example Using the Health and Retirement Survey and the Aging, Demographics, and Memory Study
JO - BMC Medical Informatics and Decision Making
VL - 21
IS - 1
SP -
EP -
PY - 2021
ER -

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Abstract