| 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 - |