The researchers used logistic regression to predict the prob…
The researchers used logistic regression to predict the probability of LBW ( 1 = LWB, 0 = normal birth weight). Table 2 presents the results of the logistic regression. Interpret the overall model statistics (e.g., Pseudo R-squared, model significance) and, if appropriate, the coefficients for each predictor variable (including odds ratios, confidence intervals, and p-values). Report your results as you would in a peer-reviewed publication, such as in the results section of a manuscript (e.g., “Logistic regression revealed that…”). Briefly discuss any limitations or assumptions (e.g., regarding data quality from birth certificates). (200-300 words) Note. OR = odds ratio; CI = confidence interval. Pseudo R² = .215. Log-Likelihood = -287.87 (LL-Null = -366.92). Income is scaled per $1,000 increment. Prenatal care adequacy is ordinal (higher values indicate better care). Reference categories: smoking = no; prenatal care coded such that higher levels reflect greater adequacy.
Read DetailsFatigue is a common symptom of many different diseases. It…
Fatigue is a common symptom of many different diseases. It is important to get a thorough medical history to help a patient figure out what is causing their fatigue. Out of the 7 categories below, pick 3 and write a question would you ask to determine if fatigue is caused by: endocrine or metabolic issue infectious disease issue cardiac or pulmonary issue medication issue mental health issue sleep issue vitamin deficiency issue
Read DetailsYou are covering a football game and your patient is on the…
You are covering a football game and your patient is on the ground writhing in pain. He tells you he has abdominal pain after being hit hard on the right side of the trunk of the body. What 2 questions will you ask your patient? 2pts List the on field examination techniques you will employ. List 2 things. 2pts What are your differentials in this case? List 2 differentials 2pts
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