TY  - CHAP
M1  - Book, Section
TI  - An Illustration of Bias and Random Error
A1  - Furukawa, Toshi A.
A1  - Guyatt, Gordon
A2  - Guyatt, Gordon
A2  - Rennie, Drummond
A2  - Meade, Maureen O.
A2  - Cook, Deborah J.
PY  - 2015
T2  - Users' Guides to the Medical Literature: A Manual for Evidence-Based Clinical Practice, 3rd ed
AB  - As  is  true  of  any  area  of  intellectual  endeavor,  students  of  evidence-based  medicine  face  challenges  both  in  understanding  concepts  and  in  becoming  familiar  with  technical  language.  When  asked  to  say  what  makes  a  study  valid  or  reduces  its  risk  of  bias,  students  often  respond,  “large  sample  size.”  Small  sample  size  does  not  produce  bias,  but  it  can  increase  the  likelihood  of  a  misleading  result  through  random  error.  
SN  - 
PB  - McGraw-Hill Education
CY  - New York, NY
Y2  - 2024/04/18
UR  - jamaevidence.mhmedical.com/content.aspx?aid=1183875916
ER  -