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Will we get error carried forward marks in the exam? e.g. if we calculate a confidence interval wrong but interpret it correctly will we still get marks for interpretation? Or if we calculate a value in the wrong way but use it correctly in subsequent parts of the question will we still be rewarded for this?

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For Question 5 in Lab Sheet 4, why do we only use the beta estimates for treat and treat:pc and not the beta estimate 0.8697 for pc as well? Because surely a patient on treatment with pc would have x=1 for all 3 of these covariates in the cox model?

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This question suggests that formulas for odds ratios and risk ratios change depending on the type of study it is. Is this something we need to know or do we just need to know the definitions in the notes. (one definition for odds ratio and one for risk ratio)

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Could you talk about Bland Altman plots and a paired value t test here?

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Would you have to justify your choice by sketching an ROC curve to get the marks? Or could you just do the calculations for a few different cut offs and decide directly from those?

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Will there always tend to be a question of the form 2018/9 Q3, i.e. the abstract type questions?

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In the first answer for ITT on the solutions the variance has assumed to be equal, would it also be correct here to assume the variances are not equal and which way would have been correct for the exam?

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When calculating period prevalence, is the population size the population size at the start of the period of time, or at the end?

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When calculating the life-table estimator for survival analysis we define d_j to be the number of deaths in the interval, is this always deaths or if we had another endpoint other than death would this be the number who reached this endpoint?

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Question via email. Are questions marked 'hard' on problem sheets likely to come up in the exam?

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Question via email: What do I do about p-values on the exam?

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This might be a stupid question, but how do we know which sort of things we have to memorise for the exam and what sort of things would be given in the question (e.g. identities)? For many of us these are the first in person uni exams we've taken so some guidance would be appreciated

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Why on sheet 7 q1 do we divide the rates by 100 and not 1000? E.g for the category <1 it would be (5x155)/100 = 7.75 but the death rate is per 100,000 and the population per 1000?

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What is considered good referencing? Does it relate to referencing articles properly or using a range of articles in our work?

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Do the in-text citations count as part of the word limit if you don't use numbers?

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Understand you may not want to be too specific to keep it discretionary but what does "essays over 1500 words 'may' be marked down" mean practically? Is it intended to be a hard limit or would it ever be worth prioritising content over say 50 words excess?

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Do we need to include subheadings?

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Can you give some examples of the types of tables and figures we might include?

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We know that our title doesn't count towards the word limit, but do our subheadings for different sections? (i.e. Introduction, conclusion)

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If in our report we decide to not discuss the secondary objectives of the study, do we need to include a sentence mentioning that the study has secondary objectives but we are not going to cover them, or can we ignore them entirely?

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Is there anything specific we should call our file submission

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Can we directly quote the lecture notes without having to reference?

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For references in the bibliography, should this just be a list of all the sources we used or should we use numbers to link it to the exact point in the essay where we used it?

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Are t-tests exclusively for testing a difference in means, or could they also be used for testing a difference in proportions?

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In the paper it says "Results of this study are presented as mean (standard deviation)" - what does the standard deviation mean in this case? Is this an estimate of the standard deviation for the result or an estimate of the standard deviation of the mean? What do the brackets represent?

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for our student ID to put on the document, is this our candidate number from SAMIS, our username/start of email, or our long student number? or something else

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In terms of picking up marks, would it be better to mention all my points but not expand totally on all of them, or just leave some things out completely? i.e. could we lose marks for leaving out certain points if everything we did mention is well justified and critiqued and within the word limit?

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Can we put our student number in the header, or would you prefer it above the title in the body?

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Does the title count in the total word count?

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How would you provide a definition of a term within a sentence? Would it be using brackets with the definition inside?

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If we think it would be useful to know other statistics, are we expected to look these up or can we just say it would be useful to know?

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How much do we need to explain statistical methods or techniques? Can we assume the audience are familiar with them, so we just need to critique them?

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When you say to critique the paper, does this mean to suggest ways they could improve the study? I'm confused as surely everything in a published paper would be correct?

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How much detail do we need to give about the disease the paper is discussing?

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Where should we put our references? Are they okay as footnotes in the essay or should there be a separate bibliography at the end?

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(adapting from student queries): What is stratified randomisation?

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What sort of thing should we include in the introduction? Or can we just launch straight into the paper summary and critique?

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Is there anything specific we need to title the essay? I'm a bit confused what is expected.

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A student asked (via email) The paper mentions use of a generalised estimating equation to remove the cluster effect, what is that and is that appropriate?

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Can you give more details on how to write and what to include in the study purpose section?

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Can we assume the people reading our report have access to the paper? If we say e.g. "table 3 shows" do we need to include table 3 in our report?

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Will we be marked down if we do not use figures/tables in our coursework? Or is it more just that if we do decide to use them, they need to be relevant/used well?

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Do we need to provide an in-text reference every time we quote from our paper? Because surely a lot of the coursework will include taking bits of information from the paper and writing about them so wouldn't there just be in-text references everywhere? Also what referencing style are we expected to use?

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With regards to references, what sort of things would we reference? Would it be if we looked up medical/statistical techniques or something else?

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I was wondering how to perform a hypothesis test for the RR

I think that H0: RR=1 vs H1: RR!=1 is what I'm testing so I am trying to find what the distribution would be for RR so I can then find the test statistic. Is the distribution of RR the equivalent of OR so:

logRR~N(logRR,SE(logRR)^2) ?

And then I would have the test stat as logRR/SE(logRR) ~N(0,1) under the null.

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Are the derivations of the formula for variance on RR and OR, etc examinable, or are we safe just remembering the final simpler equations?

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Do we get any sheets that we have access to in the exam(such as a formula sheet/information table/etc)?

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I remember you mentioned some recommended textbooks in the first LOIL, but I can't find them on the Moodle page. Could you remind me what they are? Thanks!