Assesses the risk of bias for a single non-randomized study using the ROBINS-I tool. The overall judgment is automatically calculated based on domain judgments using the following algorithm:
"Low": All domains rated "Low"
"Moderate": At least one "Moderate" but no "Serious" or "Critical"
"Serious": At least one "Serious" but no "Critical"
"Critical": Any domain rated "Critical"
"No information": At least one "No information" with all others "Low" or "Moderate"
Usage
assess_robins_i(
study_id,
d1_confounding,
d2_selection,
d3_classification,
d4_deviations,
d5_missing_data,
d6_measurement,
d7_selection_report,
d1_support = "",
d2_support = "",
d3_support = "",
d4_support = "",
d5_support = "",
d6_support = "",
d7_support = "",
outcome = "",
intervention = "",
comparator = "",
overall = NULL,
overall_justification = NULL,
metadata = list()
)Arguments
- study_id
Character. Study identifier.
- d1_confounding
Character. Domain 1 judgment: "Low", "Moderate", "Serious", "Critical", or "No information". For confounding.
- d2_selection
Character. Domain 2 judgment: "Low", "Moderate", "Serious", "Critical", or "No information". For selection of participants.
- d3_classification
Character. Domain 3 judgment: "Low", "Moderate", "Serious", "Critical", or "No information". For classification of interventions.
- d4_deviations
Character. Domain 4 judgment: "Low", "Moderate", "Serious", "Critical", or "No information". For deviations from interventions.
- d5_missing_data
Character. Domain 5 judgment: "Low", "Moderate", "Serious", "Critical", or "No information". For missing data.
- d6_measurement
Character. Domain 6 judgment: "Low", "Moderate", "Serious", "Critical", or "No information". For measurement of outcomes.
- d7_selection_report
Character. Domain 7 judgment: "Low", "Moderate", "Serious", "Critical", or "No information". For selection of reported result.
- d1_support
Character. Supporting text for Domain 1 (optional).
- d2_support
Character. Supporting text for Domain 2 (optional).
- d3_support
Character. Supporting text for Domain 3 (optional).
- d4_support
Character. Supporting text for Domain 4 (optional).
- d5_support
Character. Supporting text for Domain 5 (optional).
- d6_support
Character. Supporting text for Domain 6 (optional).
- d7_support
Character. Supporting text for Domain 7 (optional).
- outcome
Character. Outcome being assessed (optional).
- intervention
Character. Intervention being assessed (optional).
- comparator
Character. Comparator intervention (optional).
- overall
Character. Overall judgment. If NULL, auto-calculated.
- overall_justification
Character. Justification for overall judgment. If NULL and overall is auto-calculated, a default justification is generated.
- metadata
List. Additional metadata (optional).
Examples
if (FALSE) { # \dontrun{
# Basic assessment with auto-calculated overall
result <- assess_robins_i(
study_id = "OBS001",
d1_confounding = "Serious",
d2_selection = "Low",
d3_classification = "Low",
d4_deviations = "Low",
d5_missing_data = "Low",
d6_measurement = "Moderate",
d7_selection_report = "Low",
d6_support = "Outcome assessor not fully blinded",
outcome = "Overall Survival",
intervention = "Drug A",
comparator = "Standard of Care"
)
result@overall
result@judgment_counts
# Assessment with all Low risk
result2 <- assess_robins_i(
study_id = "OBS002",
d1_confounding = "Low",
d2_selection = "Low",
d3_classification = "Low",
d4_deviations = "Low",
d5_missing_data = "Low",
d6_measurement = "Low",
d7_selection_report = "Low",
outcome = "Response Rate"
)
} # }