1/5/2009
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So far weve considered weight loss as the simple difference between average pre-diet weight and average post-diet weight. But you migh wish also to consider relative weight loss: that difference as a proportion of pre-diet weight. Same structure and analysis, possibly different results. Or use pre-diet weight as a covariate for the simple weight loss as a response variable. There may also be interesting comparisons to be made between the several pre-diet average weights; one can imagine that these might differ depending on which diet preceded them, or on their position in the temporal sequence.
Ive lost weight in the past only to gain it back and more. Not until Ive found something incredible have I been able to keep the weight off. To give you an example, I lost 7 pounds in 7 days and went on for another 2 months to lose another 23 pounds. My friend and his wife lost a combined 140 pounds in just 4 1/2 months and they have kept it off for over 2 1/2 years. He went from a 36 to a 30 waist and his wife went from a size 16 to a size 6. We lost our weight while still enjoying the foods that we normally ate without counting a calorie and with no exercise. We werent tired or hungry. Our energy shot through the roof and our bodies were turned into major fat burning machines. Its INCREDIBLE!!
I did a weight-loss trial with 51 people comparing 3 diets (alternate use). Panelists weighed themselves 6 times a day for a week (42 readings to get an accurate value of weight before new Diet). 17 people had Diet A 1st for 10 weeks. Similarly, 17 people each were started on Diets B or C.
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Suppose you are interested in differences in weight loss as a function of the several diets. For each person, you have 3 weight-loss values, being the difference between measurements at #1 and #3 above, between #5 and #7, and between #9 and #11. For conceptual simplicity, lets take those as differences between the averaged values. (What _kind_ of averages may also be up for grabs; the median of each set of 42 values might be best, as being relatively uninfluenced by unexpected, and perhaps unaccountable, extreme values for an individual.) These values are in a Latin square structure that can be displayed thus:
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