Estimation Healthy worker effect Attrition bias Type II error Sampling error Recall bias Misclassification Loss to follow- up Observer bias Witchy p-value Non-differential misclassification Power Non-differential misclassification Recall bias Confidence interval Reliability Detection bias Information bias Cursed control group False positive Differential misclassification Randomization Hypothesis testing Differential misclassification Systematic error Alternative hypothesis Measurement error Validity Interviewer bias P- value P- value Publication bias Accuracy Blinding Biological variation Random error Accuracy Reporting bias Observer bias Internal validity Blinding Haunted sample size Type II error Random error Sampling error Type I error Attrition bias Confidence interval Overestimation Confounding False negative Systematic error External validity Ghost of random error Internal validity Precision Spooky significance Reporting bias Phantom confounder Publication bias Confounding Null hypothesis Underestimation Information bias Precision Selection bias Potion of bias Type I error External validity Selection bias Measurement error Misclassification Randomization Estimation Healthy worker effect Attrition bias Type II error Sampling error Recall bias Misclassification Loss to follow- up Observer bias Witchy p-value Non-differential misclassification Power Non-differential misclassification Recall bias Confidence interval Reliability Detection bias Information bias Cursed control group False positive Differential misclassification Randomization Hypothesis testing Differential misclassification Systematic error Alternative hypothesis Measurement error Validity Interviewer bias P- value P- value Publication bias Accuracy Blinding Biological variation Random error Accuracy Reporting bias Observer bias Internal validity Blinding Haunted sample size Type II error Random error Sampling error Type I error Attrition bias Confidence interval Overestimation Confounding False negative Systematic error External validity Ghost of random error Internal validity Precision Spooky significance Reporting bias Phantom confounder Publication bias Confounding Null hypothesis Underestimation Information bias Precision Selection bias Potion of bias Type I error External validity Selection bias Measurement error Misclassification Randomization
(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.
Estimation
Healthy worker effect
Attrition bias
Type II error
Sampling error
Recall bias
Misclassification
Loss to follow-up
Observer bias
Witchy p-value
Non-differential misclassification
Power
Non-differential misclassification
Recall bias
Confidence interval
Reliability
Detection bias
Information bias
Cursed control group
False positive
Differential misclassification
Randomization
Hypothesis testing
Differential misclassification
Systematic error
Alternative hypothesis
Measurement error
Validity
Interviewer bias
P-value
P-value
Publication bias
Accuracy
Blinding
Biological variation
Random error
Accuracy
Reporting bias
Observer bias
Internal validity
Blinding
Haunted sample size
Type II error
Random error
Sampling error
Type I error
Attrition bias
Confidence interval
Overestimation
Confounding
False negative
Systematic error
External validity
Ghost of random error
Internal validity
Precision
Spooky significance
Reporting bias
Phantom confounder
Publication bias
Confounding
Null hypothesis
Underestimation
Information bias
Precision
Selection bias
Potion of bias
Type I error
External validity
Selection bias
Measurement error
Misclassification
Randomization