Sergeant, Jamie C.
57  results:
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2

Sample size requirements are not being considered in studie..:

Dhiman, Paula ; Ma, Jie ; Qi, Cathy...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439652/.  , 2023
 
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3

Developing prediction models to estimate the risk of two su..:

Pate, Alexander ; Sperrin, Matthew ; Riley, Richard D...
https://vbn.aau.dk/da/publications/b2c402f3-0122-4c93-ac2b-4cc3f8eb3d70.  , 2023
 
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6

Association between psoriatic disease and lifestyle factors..:

Zhao, Sizheng Steven ; Bellou, Eftychia ; Verstappen, Suzanne M. M...
Zhao , S S , Bellou , E , Verstappen , S M M , Cook , M J , Sergeant , J C , Warren , R B , Barton , A & Bowes , J 2023 , ' Association between psoriatic disease and lifestyle factors and comorbidities : Cross-sectional analysis and Mendelian randomization ' , Rheumatology , vol. 62 , no. 3 , pp. 1272-1285 . https://doi.org/10.1093/rheumatology/keac403.  , 2023
 
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10

Heterogeneity in the Association between Weather and Pain S..:

Yimer, Belay B ; Schultz, David M ; Beukenhorst, Anna L...
Yimer , B B , Schultz , D M , Beukenhorst , A L , Lunt , M , Pisaniello , H L , House , T , Sergeant , J C , McBeth , J & Dixon , W G 2022 , ' Heterogeneity in the Association between Weather and Pain Severity among Patients with Chronic-Pain: A Bayesian Multilevel Regression Analysis ' , Pain Reports , vol. 7 , no. 1 , pp. e963 . https://doi.org/10.1097/pr9.0000000000000963.  , 2022
 
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Understanding the Predictors of Missing Location Data to In..:

Beukenhorst, Anna L ; Sergeant, Jamie C ; Schultz, David M...
Beukenhorst , A L , Sergeant , J C , Schultz , D M , McBeth , J , Yimer , B B & Dixon , W G 2021 , ' Understanding the Predictors of Missing Location Data to Inform Smartphone Study Design: Observational Study ' , JMIR mHealth and uHealth , vol. 9 , no. 11 , e28857 . https://doi.org/10.2196/28857.  , 2021
 
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Prediction models for diagnosis and prognosis of covid-19:s..:

Wynants, Laure ; Van Calster, Ben ; Collins, Gary S...
Wynants , L , Van Calster , B , Collins , G S , Heinze , G , Schuit , E , Bonten , M M J , Damen , J A A , Debray , T P A , De Vos , M , Dhiman , P , Haller , M C , Harhay , M O , Henckaerts , L , Kreuzberger , N , Lohman , A , Luijken , K , Ma , J , Martin , G , Andaur , C L , Reitsma , J B , Sergeant , J C , Shi , C , Skoetz , N , Smits , L J M , Snell , K I E , Sperrin , M , Spijker , R , Steyerberg , E W , Takada , T , van Kuijk , S M J , van Royen , F S , Wallisch , C , Wilkinson , J , Hooft , L , Moons , K G M & van Smeden , M 2020 , ' Prediction models for diagnosis and prognosis of covid-19 : systematic review and critical appraisal ' , BMJ (Clinical Research Edition) , vol. 369 , m1328 , pp. m1328 . https://doi.org/10.1136/bmj.m1328 , https://doi.org/10.1136/bmj.m1328.  , 2020
 
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