Biological variation Alternative hypothesis Interviewer bias Random error Sampling error Blinding Reporting bias Attrition bias Publication bias Type II error Non-differential misclassification Hypothesis testing Selection bias Potion of bias Loss to follow- up Systematic error Observer bias Measurement error Validity Accuracy Random error Attrition bias Reliability Information bias Type II error Witchy p-value Randomization Phantom confounder False positive Randomization P- value Spooky significance Precision Overestimation Differential misclassification Observer bias Systematic error External validity Confidence interval Information bias Differential misclassification Estimation Confidence interval Healthy worker effect Cursed control group Internal validity Ghost of random error Detection bias Precision External validity Internal validity Publication bias Haunted sample size Confounding Selection bias Blinding Reporting bias False negative Type I error Measurement error Null hypothesis Confounding Recall bias Misclassification Power Recall bias Underestimation Sampling error Accuracy Type I error P- value Non-differential misclassification Misclassification Biological variation Alternative hypothesis Interviewer bias Random error Sampling error Blinding Reporting bias Attrition bias Publication bias Type II error Non-differential misclassification Hypothesis testing Selection bias Potion of bias Loss to follow- up Systematic error Observer bias Measurement error Validity Accuracy Random error Attrition bias Reliability Information bias Type II error Witchy p-value Randomization Phantom confounder False positive Randomization P- value Spooky significance Precision Overestimation Differential misclassification Observer bias Systematic error External validity Confidence interval Information bias Differential misclassification Estimation Confidence interval Healthy worker effect Cursed control group Internal validity Ghost of random error Detection bias Precision External validity Internal validity Publication bias Haunted sample size Confounding Selection bias Blinding Reporting bias False negative Type I error Measurement error Null hypothesis Confounding Recall bias Misclassification Power Recall bias Underestimation Sampling error Accuracy Type I error P- value Non-differential misclassification Misclassification
(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.
Biological variation
Alternative hypothesis
Interviewer bias
Random error
Sampling error
Blinding
Reporting bias
Attrition bias
Publication bias
Type II error
Non-differential misclassification
Hypothesis testing
Selection bias
Potion of bias
Loss to follow-up
Systematic error
Observer bias
Measurement error
Validity
Accuracy
Random error
Attrition bias
Reliability
Information bias
Type II error
Witchy p-value
Randomization
Phantom confounder
False positive
Randomization
P-value
Spooky significance
Precision
Overestimation
Differential misclassification
Observer bias
Systematic error
External validity
Confidence interval
Information bias
Differential misclassification
Estimation
Confidence interval
Healthy worker effect
Cursed control group
Internal validity
Ghost of random error
Detection bias
Precision
External validity
Internal validity
Publication bias
Haunted sample size
Confounding
Selection bias
Blinding
Reporting bias
False negative
Type I error
Measurement error
Null hypothesis
Confounding
Recall bias
Misclassification
Power
Recall bias
Underestimation
Sampling error
Accuracy
Type I error
P-value
Non-differential misclassification
Misclassification