Risk of bias requirements
When a study is entered into the HAWC database for use in an assessment, risk of bias metrics can be entered for a metric of bias for each study. Risk of Bias metrics are organized by domain. The following questions are required for evaluation for this assessment.
Requirements by Study Type
Domain | Metric | Bioassay | Epidemiology | In Vitro |
---|---|---|---|---|
Selection2363 | Did selection of study participants result in appropriate comparison groups?4181 | - | ✔ | ✔ |
Selection2363 | Was administered dose or exposure level adequately randomized?4179 | ✔ | - | ✔ |
Selection2363 | Was allocation to study groups adequately concealed?4180 | ✔ | - | ✔ |
Confounding2364 | Did the study design or analysis account for important confounding and modifying variables?4182 | - | ✔ | ✔ |
Performance2365 | Were experimental conditions identical across study groups?4183 | ✔ | - | ✔ |
Performance2365 | Were the research personnel and human subjects blinded to the study group during the study?4184 | ✔ | - | ✔ |
Attrition2366 | Were outcome data incomplete due to attrition or exclusion from analysis?4185 | ✔ | ✔ | ✔ |
Detection2367 | Can we be confident in the exposure characterization?4186 | ✔ | ✔ | ✔ |
Detection2367 | Can we be confident in the outcome assessment?4187 | ✔ | ✔ | ✔ |
Selective Reporting2368 | Were all measured outcomes reported?4188 | ✔ | ✔ | ✔ |
Other2369 | Were there any other potential threats to internal validity?4189 | ✔ | ✔ | ✔ |
Other2369 | Control for litter effects4191 | ✔ | - | ✔ |
Selection2363
Was administered dose or exposure level adequately randomized?4179
Randomization requires that each human subject or animal had an equal chance of being assigned to any study group including controls (e.g., use of random number table or computer generated randomization).
Was allocation to study groups adequately concealed?4180
Allocation concealment requires that research personnel do not know which administered dose or exposure level is assigned at the start of a study. Human studies also require that allocation be concealed from human subjects prior to entering the study.
Note:
- a question under performance bias addresses blinding of personnel and human subjects to treatment during the study;
- a question under detection bias addresses blinding of outcome assessors.
Performance2365
Were experimental conditions identical across study groups?4183
Were the research personnel and human subjects blinded to the study group during the study?4184
Blinding requires that study scientists do not know which administered dose or exposure level the human subject or animal is being given (i.e., study group). Human studies also require blinding of the human subjects when possible.
Attrition2366
Were outcome data incomplete due to attrition or exclusion from analysis?4185
Attrition rates are required to be similar and uniformly low across groups with respect to withdrawal or exclusion from analysis
Detection2367
Can we be confident in the exposure characterization?4186
Confidence requires valid, reliable, and sensitive methods to measure exposure applied consistently across groups.
Can we be confident in the outcome assessment?4187
Confidence requires valid, reliable, and sensitive methods to assess the outcome and the methods should be applied consistently across groups.
Selective Reporting2368
Were all measured outcomes reported?4188
Other2369
Were there any other potential threats to internal validity?4189
On a project specific basis, additional questions for other potential threats to internal validity can be added and applied to study designs as appropriate.
Examples may include appropriateness of statistical methods, adherence to the study-protocol, etc.
Control for litter effects4191
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Selection2363
Did selection of study participants result in appropriate comparison groups?4181
Comparison group appropriateness refers to having similar baseline characteristics between the groups aside from the exposures and outcomes under study.
Confounding2364
Did the study design or analysis account for important confounding and modifying variables?4182
Attrition2366
Were outcome data incomplete due to attrition or exclusion from analysis?4185
Attrition rates are required to be similar and uniformly low across groups with respect to withdrawal or exclusion from analysis
Detection2367
Can we be confident in the exposure characterization?4186
Confidence requires valid, reliable, and sensitive methods to measure exposure applied consistently across groups.
Can we be confident in the outcome assessment?4187
Confidence requires valid, reliable, and sensitive methods to assess the outcome and the methods should be applied consistently across groups.
Selective Reporting2368
Were all measured outcomes reported?4188
Other2369
Were there any other potential threats to internal validity?4189
On a project specific basis, additional questions for other potential threats to internal validity can be added and applied to study designs as appropriate.
Examples may include appropriateness of statistical methods, adherence to the study-protocol, etc.
Selection2363
Did selection of study participants result in appropriate comparison groups?4181
Comparison group appropriateness refers to having similar baseline characteristics between the groups aside from the exposures and outcomes under study.
Was administered dose or exposure level adequately randomized?4179
Randomization requires that each human subject or animal had an equal chance of being assigned to any study group including controls (e.g., use of random number table or computer generated randomization).
Was allocation to study groups adequately concealed?4180
Allocation concealment requires that research personnel do not know which administered dose or exposure level is assigned at the start of a study. Human studies also require that allocation be concealed from human subjects prior to entering the study.
Note:
- a question under performance bias addresses blinding of personnel and human subjects to treatment during the study;
- a question under detection bias addresses blinding of outcome assessors.
Confounding2364
Did the study design or analysis account for important confounding and modifying variables?4182
Performance2365
Were experimental conditions identical across study groups?4183
Were the research personnel and human subjects blinded to the study group during the study?4184
Blinding requires that study scientists do not know which administered dose or exposure level the human subject or animal is being given (i.e., study group). Human studies also require blinding of the human subjects when possible.
Attrition2366
Were outcome data incomplete due to attrition or exclusion from analysis?4185
Attrition rates are required to be similar and uniformly low across groups with respect to withdrawal or exclusion from analysis
Detection2367
Can we be confident in the exposure characterization?4186
Confidence requires valid, reliable, and sensitive methods to measure exposure applied consistently across groups.
Can we be confident in the outcome assessment?4187
Confidence requires valid, reliable, and sensitive methods to assess the outcome and the methods should be applied consistently across groups.
Selective Reporting2368
Were all measured outcomes reported?4188
Other2369
Were there any other potential threats to internal validity?4189
On a project specific basis, additional questions for other potential threats to internal validity can be added and applied to study designs as appropriate.
Examples may include appropriateness of statistical methods, adherence to the study-protocol, etc.
Control for litter effects4191
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